Machine Learning Engineer

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Job Overview

The position available is for a Machine Learning Engineer at Criteo, a global commerce media company, located in Toronto, ON. The role involves working as part of an R&D team, where creativity and collaboration are emphasized. As a part of this engineering team, you will focus on designing, developing, and maintaining machine learning models that aim to predict outcomes, optimize advertiser metrics like Return on Ad Spend (ROAS), and ultimately maximize the revenue for retailers.

Responsibilities

In your role as an ML engineer on the Onsite Auction team, your key responsibilities will include:

• Designing and developing machine learning models.
• Collaborating with other ML teams within Criteo to share cutting-edge techniques.
• Balancing product and customer needs against operational and technical factors.
• Performing code reviews and ensuring high-quality code through unit tests, integration tests, and end-to-end tests in a continuous integration environment.

Ideal Candidate Profile

Criteo is looking for someone who not only has the required technical skills but also embodies their values. To be successful in this role, you should possess the following qualifications:

• A BS in Software Engineering or a related field.
• At least 3+ years of experience in Machine Learning or Data Science.
• Proficiency in core software engineering concepts, including data structures, algorithms, and performance optimization.
• Hands-on experience with tools like SQL, Spark, and PyTorch.
• Experience in designing scalable models capable of training on billions of requests daily.
• A strong communicative ability, showcasing both teamwork spirit and individual skill, contributing positively to team dynamics.
• A commitment to delivering exceptional customer experiences through diligence in design, testing, and analysis.

Company Culture

Criteo takes great pride in its diverse and inclusive culture. The company employs around 3,600 team members globally, and they prioritize treating all workers equally. Criteo fosters an environment where ideas and contributions are encouraged and valued among team members. They strictly adhere to ethical business practices, promoting an environment free from discrimination, harassment, and any form of mistreatment.

Benefits and Work Environment

At Criteo, the culture is described as caring and supportive, reflecting a commitment to employee well-being. They aim to provide benefits that cover various aspects of life, including physical and emotional health, financial stability, and personal interests. When it comes to compensation, Criteo emphasizes a meticulous approach, evaluating experiences, skills, knowledge, education levels, and location. This results in individualized compensation packages that align with the role's demands.

Role Offer and Job Requirements

In summary, the position of Machine Learning Engineer is a full-time role where you will be instrumental in developing impactful machine learning solutions. Ideal candidates must showcase a blend of technical prowess, solid communication skills, and a collaborative mindset. Criteo encourages applications from candidates who may not meet every requirement listed, but who believe they can bring substantial value to the role.

Overall, this role presents an exciting opportunity to contribute to Criteo's mission of enhancing marketing outcomes through advanced machine learning solutions. With a commitment to continuous problem-solving and product enhancement, successful candidates will join a team that thrives on innovation and shared success.

This job offer was originally published on jooble.com